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Next Generation and Advanced Network Reliability Analysis

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Next Generation and Advanced Network Reliability Analysis

Using Markov Models and Software Reliability Engineering

Syed Riffat Ali

Springer
Collection: Signals and Communication Technology
Publication date : 2018-11-19

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This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing, Network Function Virtualization (NVF), Software Defined Network (SDN), Next Generation Transport, Evolving Wireless Systems, Digital VoIP Telephony, and Reliability Testing techniques specific to Next Generation Networks (NGN). This book introduces the technology to the reader first, followed by advanced reliability techniques applicable to both hardware and software reliability analysis. The book covers methodologies that can predict reliability using component failure rates to system level downtimes. The book’s goal is to familiarize the reader with analytical techniques, tools and methods necessary for analyzing very complex networks using very different technologies. The book lets readers quickly learn technologies behind currently evolving NGN and apply advanced Markov modeling and Software Reliability Engineering (SRE) techniques for assessing their operational reliability.

Covers reliability analysis of advanced networks and provides basic mathematical tools and analysis techniques and methodology for reliability and quality assessment;
Develops Markov and Software Engineering Models to predict reliability;
Covers both hardware and software reliability for next generation technologies.

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About the book

Author

Syed Riffat Ali

Imprint

Springer

Collection

Signals and Communication Technology

Publication date

2018-11-19

Pages

311 pages

Print ISBN

9783030016463

Language

English

Ebook informations

EAN PDF

9783030016470

Price

£119.50

Copy count 3

Print count 31

File size 44759 Ko

Informations accessibility

EAN EPUB

9783030016470

Price

£119.50

Copy count 3

Print count 31

File size 44974 Ko

Informations accessibility

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About author(s)

Syed Riffat Ali

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